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ICCV
2003
IEEE
14 years 9 months ago
Learning a Locality Preserving Subspace for Visual Recognition
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
Xiaofei He, Shuicheng Yan, Yuxiao Hu, HongJiang Zh...
ICIP
2009
IEEE
14 years 8 months ago
Scale-robust Feature Extraction For Face Recognition
In video surveillance, the sizes of face images are very small. However, few works have been done to investigate scalerobust face recognition. Our experiments on appearancebased m...
ICPR
2008
IEEE
14 years 1 months ago
IR and visible face recognition using fusion of kernel based features
In this paper we present the face recognition method using feature-level fusion where the infrared (IR) and visible face images are fused at transformed domain. The main contribut...
Shahbe Mat Desa, Subhas Hati
SCIA
2009
Springer
195views Image Analysis» more  SCIA 2009»
13 years 12 months ago
Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition
A feature extraction method using multi-frequency bands is proposed for face recognition, named as the Multi-band Gradient Component Pattern (MGCP). The MGCP captures discriminativ...
Yimo Guo, Jie Chen, Guoying Zhao, Matti Pietik&aum...
ICPR
2008
IEEE
14 years 8 months ago
An empirical comparison of graph-based dimensionality reduction algorithms on facial expression recognition tasks
Facial expression recognition is a topic of interest both in industry and academia. Recent approaches to facial expression recognition are based on mapping expressions to low dime...
José Miguel Buenaposada, Li He, Luis Baumel...